Chapter 1 Introduction 1��1 What is statistics 1��2 Study design and data collection 1��3 The purpose of this textbook 1��4 Introduction to some basic terms and notation Chapter 2 Descriptive Statistics 2��1 Types of data 2��2 Measures of central tendency 2��3 Measures of dispersion 2��4 Tabular and graphical presentation of data Chapter 3 Probability Distributions 3��1 Definitions and basic ideas related to probability 3��2 The binomial distribution 3��3 The Poisson distribution 3��4 The normal probability distribution Chapter 4 Introduction to Statistical Inference 4��1 Important definitions and concepts 4��2 Concepts of hypothesis testing 4��3 Interval estimation Chapter 5 One Sample Statistical Inference 5��1 One sample test for the mean of a normal distribution with known variance 5��2 One sample t test Chapter 6 Two Samples Statistical Inference 6��1 The paired t test 6��2 The two samples t test for independent means 6��3 Testing for the equality of two variances 6��4 The two sample tests for binomial proportions Chapter 7 Nonparametric Statistics 7��1 Advantages and disadvantages 7��2 The Wilcoxon signed-rank test for one sample test of central tendency 7��3 Wilcoxon signed rank test for paired data 7��4 Two sample test of central tendency 7��5 The Kruskal-Wallis test Chapter 8 Chi-square Test 8��1 Comparison of proportion in independent samples 8��2 Comparison of proportion in related samples-McNermar's test 8��3 Chi-square goodness-of-fit test 8��4 Tests for association in contingency tables-measuring independence 8��5 Fisher's exact test Chapter 9 Correlation and Regression 9��1 Simple linear regression 9��2 Multiple regression 9��3 Linear correlation Chapter 10 Analysis of Variance Techniques 10��1 One way analysis of variance 10��2 ANOVA for randomized block design 10��3 Factorial designs Chapter 11 Research Designs 11��1 Sample and sampling techniques 11��2 Design of experiments 11��3 Observational study design ���� Appendix Tables Table Index Reference